PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-22 10:22:41.011313+00:00 (UTC)
In US/Central Time, this is 2024-07-22 05:22:41.011313-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/35d0dba201b30b55cbe926c66c690360ab01e3d3b1a4ab43d6a7a58c4aeeb2c1.png
We are just generating a random time serie here.
../../_images/be47d49ca0befed84df899144ba09892c9f271435db69dd8aa08f904dce8403b.png
../../_images/a57651452e2b04e285d5c6aac5f9ef3f395055db82bd59c73fc5ee8520b4378d.png